DocumentCode :
3336332
Title :
Features and modalities for assessing early knee osteoarthritis
Author :
Hani, A.F.M. ; Malik, A.S. ; Kumar, Dinesh ; Kamil, R. ; Razak, Ruslan ; Kiflie, Azman
Author_Institution :
Centre for Intell. Signal & Imaging Res., Univ. Teknol. PETRONAS, Tronoh, Malaysia
fYear :
2011
fDate :
17-19 July 2011
Firstpage :
1
Lastpage :
6
Abstract :
Early detection of knee osteoarthritis (OA) is of great interest to orthopaedists, rheumatologists, radiologists and researchers. It is possible to detect knee osteoarthritis by measuring changes in selected articular cartilage features using sensitive modalities. This paper identifies the modalities that can potentially assess changes in morphological, mechanical or electrical and molecular features of the articular cartilage associated with the progression of OA. From the literature, it was found that the features that undergo earliest change are surface roughness for morphology, cartilage stiffness for mechanical properties and proteoglycan content for molecular composition. However, the earliest changes that can be accurately and consistently measured using non-invasive, non-ionizing and in-vivo modalities in the relevant categories of articular cartilage features are thickness, water and proteoglycan contents. It is argued that MRI is the most suitable modality for measuring early changes in thickness, water and proteoglycan content associated with early stage of osteoarthritis progression. Recent developments in MRI software and hardware, in particular the dual tuned (1H/23Na) MRI, provides the capability to measure accurate changes in thickness, water and proteoglycan contents of articular cartilage without using any contrast enhancement agent. Therefore, future research on early osteoarthritis should focus on using MRI as a measurement tool.
Keywords :
biomedical MRI; diseases; orthopaedics; surface roughness; MRI; articular cartilage features; cartilage stiffness; knee osteoarthritis; proteoglycan; surface roughness; water; Biomechanics; Feature extraction; Joints; Magnetic resonance imaging; Osteoarthritis; Ultrasonic imaging; Ultrasonic variables measurement; Knee osteoarthritis; Magnetic resonance imaging; articular cartilage; sodium MRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Engineering and Informatics (ICEEI), 2011 International Conference on
Conference_Location :
Bandung
ISSN :
2155-6822
Print_ISBN :
978-1-4577-0753-7
Type :
conf
DOI :
10.1109/ICEEI.2011.6021631
Filename :
6021631
Link To Document :
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